VMM + WTA Embedded Classifiers Learning Algorithm Implementable on SoC FPAA Devices.
Jennifer HaslerSahil ShahPublished in: IEEE J. Emerg. Sel. Topics Circuits Syst. (2018)
Keyphrases
- embedded systems
- learning algorithm
- training data
- machine learning algorithms
- training examples
- training samples
- low cost
- classification algorithm
- supervised learning algorithms
- augmented naive bayes
- machine learning methods
- active learning
- test set
- support vector
- supervised learning
- hw sw
- naive bayes
- co training
- machine learning
- everyday objects
- competitive learning
- boosting algorithms
- low power
- decision trees
- learning tasks
- feature selection
- sample complexity
- training set
- generalization error
- back propagation
- generalization ability
- unlabeled data
- boosting framework
- decision stumps
- reinforcement learning
- field programmable gate array
- mobile devices
- svm classifier
- learning rate
- virtual machine
- weak classifiers
- ensemble classifier
- learning process
- linear classifiers
- learning scheme
- hardware software
- roc curve
- feature set
- multi class